Detecting Malicious Activity in Open-Source Projects Using Machine Learning Methods

Stanislav Aleksandrovich RAKOVSKY

Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS)
Trudy Instituta sistemnogo programmirovaniâ

ISSN 2079-8156 (Print)
ISSN 2220-6426 (Online)

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Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS)

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RAKOVSKY S.A. Detecting Malicious Activity in Open-Source Projects Using Machine Learning Methods. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2024;36(3):161-166. https://doi.org/10.15514/ISPRAS-2024-36(3)-11

This work is licensed under a Creative Commons Attribution 4.0 License.

ISSN 2079-8156 (Print)
ISSN 2220-6426 (Online)

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About the Author

Stanislav Aleksandrovich RAKOVSKY
MIREA — Russian Technological University
Russian Federation

Postgraduate student at the Institute of Cybersecurity and Digital Technologies in RTU MIREA, and a senior specialist of threat intelligence department at Positive Technologies, working in the field of information security since 2019. His scientific interests include open-source software and its security; reverse engineering.

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Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS)

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